scholarly journals Analysis of intercity bus public transport safety perception modeling using conjoint

2021 ◽  
Vol 4 (3(112)) ◽  
pp. 36-42
Author(s):  
Aji Suraji ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono ◽  
Marjono Marjono ◽  
Leksmono Suryo Putranto ◽  
...  
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Traffic Accidents ◽  
Importance Value ◽  
Safety Perception ◽  
Perception Model ◽  
Transport Safety ◽  
Bus Accidents ◽  
Level Of Importance ◽  
Priority Factor

Public transport safety is still an issue that needs to be studied by bureaucrats and researchers. This is because public bus accidents are still quite high. This is because many families, involved in traffic accidents, are shocked by the accident. Therefore, the problem of perception of a safe bus needs to be studied. The purpose of this study was to determine the perception model of a safe public bus. Mathematical modeling based on the parameters that have been studied was selected first. While the second objective was to determine the importance value of the parameters that are an indication of the perception of the safety of intercity bus public transportation. This research is a type of perceptual one where the data is taken from the relevant respondents. The method of data collection was carried out using a questionnaire with respondents from bus company owners, drivers, and passengers in the province of East Java, Indonesia. Respondents were asked to answer questions related to the variables of income, speed, comfort, and safety. The method of conjoint analysis is used. The first stage is the result of modeling the perception of a safe bus. Further analysis is carried out to obtain the importance value of the parameters. The result of this research is a utility model for the perception of a safe bus, which is expressed by the equation U, where the variables include income, speed, comfort, and safety. The highest level of importance is income 33.29 %, followed by the security variable with a weight of 25.39 %. This shows that the income factor is a top priority for drivers and management of bus company owners, while road safety is second only to income. In other words, respondents' perceptions are more concerned with income, while safety is still a non-priority factor.

Analysis Public Transportation City of Dili to Improve Service with Users Characteristics

2021 ◽  
Vol 8 (8) ◽  
pp. 254-262
Author(s):  
Florentino Pereira ◽  
Nunung Widyaningsih ◽  
Hermanto Dwiatmoko
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Traffic Accidents ◽  
Demand Management ◽  
Service Level ◽  
Generation Model ◽  
Trip Generation ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
The Government

Many public transport drivers in City of Dili do not apply various regulations from the government. Located on Becora-Baidi, Becora-Bidau, and Tasi Tolu-Bidau Road. This causes congestion and traffic accidents, and impact on economy. The purpose of study is to determine the trip generation model and its factors, city transportation service performance, and how to formulate TDM concept in public transport. The survey conducted was daily volume of public transport, questionnaires, and interviews 2020. Looking for value of angkot generation with instrument test and multiple regression (IBM SPSS 22). To analyze services used parameters and Severy Index. Then, concept of Transportation Demand Management (TDM) with Guttman Scale. After analyzing, the trip generation value, Y = -1,3920 + 0,0275.X1 + 0,4958.X2 + 0,1734.X3 – 0,0601. X4 - 0,0657.X5 - 0,0001.X6 - 0,0193.X7 - 0,7670.X8 + 0,8801.X9 + 0,6721.X10 + 0,1058.X11, positive value is factor that most influences the respondent's decision to trips using public transportation: gender (X1), age (X2), job (X3), duration of trip (X9), number of passengers (X10), and waiting time for public transportation (X11). However, in service level is still “low” category. Then, for TDM concept gets 87% in 51%-99% range. Means that angkot users agree, if TDM concept is propose to the government of Dili City, and public transportation will be better in the future. Keywords: Trip Generation, Public Transportation Mode, Public Transportation Services, Transportation Demand Management, TDM.

scholarly journals Assessing factors affecting professional bus drivers in Central Java, Indonesia

2021 ◽  
Vol 14 (3) ◽  
pp. 019-026
Author(s):  
Bayu Yoni Setyo Nugroho ◽  
Vilda Ana Veria Setyawati ◽  
Slamet Isworo
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Public Transport ◽  
Public Transportation ◽  
Traffic Accidents ◽  
Smoking Habit ◽  
Bus Drivers ◽  
Future Health ◽  
Central Java

Public transportation is a key solution to a connecting city in Indonesia country. An important factor of driver behavior and driver fatigue is the potential for loss in this field. This study aims to identify traffic loss risk factors associated with demographic characteristics, fatigue levels, body mass index, driver experience blood pressure levels, and inappropriate driver attitudes on public transport as well as to find out the effects of fatigue levels. This research is a cross-sectional technique with descriptive analytics. The sample in this study was 67 professional bus drivers with licenses in Central Java Province, Indonesia. Data collection in the month 1-30 January 2021. Based on the results of the study showed that 67 respondents, 77.6% experienced severe level fatigue, 85.1% worked more than 8 hours, 73.1% had a smoking habit. For Body Mass Index 29.9% are overweight, 65.7% have prehypertensive blood pressure levels. The fatigue experienced by public transport drivers is categorical as heavy (77.6%). periodic checks are required regarding the level of fatigue so that the risk of traffic accidents does not occur. The policy regarding working hours must be carried out from an average of 13.82 hours per day to 8 hours, according to regulations and a bus driver's working period of more than 5 years is a record of future health problems. Professional bus drivers have a dangerous level of fatigue, so there needs to be a change in the work system in order to avoid the risk of traffic accidents related to public transportation.

scholarly journals Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Shejun Deng ◽  
Hongru Yu ◽  
Caoye Lu
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Vehicle Speed ◽  
Full Time ◽  
Time Space ◽  
Driving Risk ◽  
Transport Safety ◽  
Fatigue Driving ◽  
Safety Operation ◽  
Operation Characteristics

To prevent and control public transport safety accidents in advance and guide the safety management and decision-making optimization of public transport vehicles, based on the forewarning and other multisource data of public transport vehicles in Zhenjiang, holographic portraits of public transport safety operation characteristics are constructed from the perspectives of time, space, and driver factors, and a prediction model of fatigue driving and driving risk of bus drivers based on BP neural network is constructed. Finally, model checking and virtual simulation experiments are carried out. The result of the research shows that the driver’s fatigue risk during the period of 7 : 00-8 : 00 am is much higher than other periods. When the bus speed is about 30 km/h, the driver fatigue forewarning events occur the most. Drivers aged 30–34 years have the largest proportion of vehicle abnormal forewarning, drivers aged 40–44 years have the largest proportion of fatigue forewarning events, and drivers with a driving experience of 15–19 years have the largest overall proportion of various forewarning events. When the vehicle speed range is (18, 20) km/h and (42, 45) km/h, the probability of fatigue driving risk and driving risk forewarning increases sharply; and when the vehicle speed is lower than 17 km/h or 41 km/h, the probability of fatigue driving risk and driving risk forewarning, respectively, is almost zero. The probability of fatigue forewarning during low peak hours on rainy days is about 30% lower than that during peak hours. The probability of driving forewarning during flat peak hours is 15% higher than that during low peak hours and about 10% lower than that during peak hours. This paper realized for the first time the use of real forewarning data of buses in the full time, the whole region, and full cycle to carry out research. Related results have important theoretical value and practical significance for scientifically guiding the safety operation and emergency management strategies of buses, improving the service level of bus passenger transportation capacity and safety operation, and promoting the safety, health, and sustainable development of the public transportation industry.

scholarly journals GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning

2021 ◽  
Vol 11 (1) ◽  
pp. 16
Author(s):  
Gabriela Droj ◽  
Laurențiu Droj ◽  
Ana-Cornelia Badea
Keyword(s):  
Network Analysis ◽  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
The Public ◽  
Real Time Traffic ◽  
The Impact

Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility.

Analisis Kualitas Pelayanan Dengan Penerapan Metode Quality Function Deployment Pada Pasien Unit Rawat Jalan Poliklinik Penyakit Dalam Badan Rumah Sakit Umum Daerah �45� Kuningan

2008 ◽  
Vol 4 (08) ◽  
pp. 36
Author(s):  
Lili Karmela Fitriani Karmela Fitriani
Keyword(s):  
Quality Function Deployment ◽  
Technical Characteristic ◽  
Importance Value ◽  
Quality Function ◽  
The Public ◽  
Water Closet ◽  
Degree Of Satisfaction ◽  
Voice Of Customer ◽  
Level Of Importance

AbstrakThe data of year 2006 show that amount of polyclinic patients care unit of BRSUD�45� Kuningan is the most among other polyclinics. The result of observation and interviews tell that the degree of satisfaction got by the patients is in the level(category) of middle (enough) and the degree of importance is in the level of high (important). The purpose of doing this research is to analyze the quality of service to improve the patients satisfaction using Quality Function Deployment method involving 96 respondents. The data were taken from the result of applying quality Function Deployment method in BRSUD�45� Kuningan tells that the attribute owning the highest level of importance is the competence or the skill of the doctors in handling their works while the attribute owning the lowest level is the availability of the public service facilities such as public phones, televisions, and ATM. The attribute that owns the most satisfaction value is the dressy of the officials while the attribute that owns the least satisfaction value is the comfortable, hygiene water closet. The technical characteristic owning relatively the highest importance value is the standard officers� performance; therefore, such attribute gets the highest attentive priority of technical characteristic (technical response)Keywords : QFD, House of Quality, Voice of Customer, Technical Characteristic, Technical Response

scholarly journals The opportunity of shared autonomous vehicles to improve spatial equity in accessibility and socio-economic developments in European urban areas

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Norman Eppenberger ◽  
Maximilian Alexander Richter
Keyword(s):  
Educational Attainment ◽  
Unemployment Rate ◽  
Public Transport ◽  
Public Transportation ◽  
Autonomous Vehicles ◽  
Well Being ◽  
District Level ◽  
Positive Effects ◽  
Spatial Equity ◽  
Economic Well Being

Abstract Background This paper provides insight into the opportunity offered by shared autonomous vehicles (SAVs) to improve urban populations’ spatial equity in accessibility. It provides a concrete implementation model for SAVs set to improve equity in accessibility and highlights the need of regulation in order for SAVs to help overcome identified spatial mismatches. Methodology Through the formulation of linear regression models, the relationship between land-use and transportation accessibility (by car and public transport) and socio-economic well-being indicators is tested on district-level in four European cities: Paris, Berlin, London and Vienna. Accessibility data is used to analyse access to points of interest within given timespans by both car and public transport. To measure equity in socio-economic well-being, three district-level proxies are introduced: yearly income, unemployment rate and educational attainment. Results In the cities of Paris, London and Vienna, as well as partially in Berlin, positive effects of educational attainment on accessibility are evidenced. Further, positive effects on accessibility by yearly income are found in Paris and London. Additionally, negative effects of an increased unemployment rate on accessibility are observed in Paris and Vienna. Through the comparison between accessibility by car and public transportation in the districts of the four cities, the potential for SAVs is evidenced. Lastly, on the basis of the findings a ‘SAV identification matrix’ is created, visualizing the underserved districts in each of the four cities and the need of equity enhancing policy for the introduction of SAVs is emphasized.

scholarly journals Behavior of Traffic Congestion and Public Transport in Eight Large Cities in Latin America during the COVID-19 Pandemic

2021 ◽  
Vol 11 (10) ◽  
pp. 4703
Author(s):  
Renato Andara ◽  
Jesús Ortego-Osa ◽  
Melva Inés Gómez-Caicedo ◽  
Rodrigo Ramírez-Pisco ◽  
Luis Manuel Navas-Gracia ◽  
...  
Keyword(s):  
Latin American ◽  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Urban Transport ◽  
Control Measures ◽  
Johns Hopkins Hospital ◽  
Large Cities ◽  
Public Data ◽  
The Impact

This comparative study analyzes the impact of the COVID-19 pandemic on motorized mobility in eight large cities of five Latin American countries. Public institutions and private organizations have made public data available for a better understanding of the contagion process of the pandemic, its impact, and the effectiveness of the implemented health control measures. In this research, data from the IDB Invest Dashboard were used for traffic congestion as well as data from the Moovit© public transport platform. For the daily cases of COVID-19 contagion, those published by Johns Hopkins Hospital University were used. The analysis period corresponds from 9 March to 30 September 2020, approximately seven months. For each city, a descriptive statistical analysis of the loss and subsequent recovery of motorized mobility was carried out, evaluated in terms of traffic congestion and urban transport through the corresponding regression models. The recovery of traffic congestion occurs earlier and faster than that of urban transport since the latter depends on the control measures imposed in each city. Public transportation does not appear to have been a determining factor in the spread of the pandemic in Latin American cities.

scholarly journals Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network

2021 ◽  
Vol 13 (12) ◽  
pp. 6949
Author(s):  
Gang Lin ◽  
Shaoli Wang ◽  
Conghua Lin ◽  
Linshan Bu ◽  
Honglei Xu
Keyword(s):  
Sustainable Development ◽  
Public Transport ◽  
Public Transportation ◽  
Evaluation Criteria ◽  
Performance Standards ◽  
Transport Network ◽  
Process Models ◽  
Transport Infrastructure ◽  
Transport Networks ◽  
Ahp Model

To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.

Computational Modelling and Simulation of Pedestrian Subsystem Impactor With Sedan Vehicle and Truck Model

2020 ◽  
Author(s):  
Obaidur Rahman Mohammed ◽  
D. V. Suresh ◽  
Hamid M. Lankarani
Keyword(s):  
Finite Element ◽  
Public Transportation ◽  
Injury Risk ◽  
Computational Modelling ◽  
Design Parameters ◽  
Euro Ncap ◽  
Pedestrian Accidents ◽  
Transport Safety ◽  
Simulation Results ◽  
Pedestrian Collisions

Abstract The increase in public transportation in the last decade has resulted in a larger pedestrian population and hence a larger number of pedestrian collisions. In the past, car-pedestrian accident prevention had been a challenge for automotive and transport safety members. Recent reports in car-pedestrian accidents have influenced many improvements to prioritize pedestrian protection for automotive industries. The number of pedestrian fatalities in U.S has raised in last decade proportionally, Car manufacturers, and transport investigation teams are implementing new product designs and adding new development methods to reduce the risk of pedestrian collisions. In this study, adult headform and upper legform is tested with a finite element vehicle model to examine the simulation results and injury behavior during impact. All finite element simulation tests are produced under Euro-NCAP Committee regulations. Finite element models are configured as per the regulation’s and testing criteria. Both upper legform impactor and adult headform finite simulation results are tested with assessing criteria limits. Finite simulation tests are carried on the LS-DYNA – Code platform. This comparative study between sedan and pickup finite vehicle models gives an injury risk prediction of pedestrian safety and assesses design parameters of automotive industries.

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